MMStar / metadata.json
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metadata: migrate score_type -> score_pipeline (atomic stage contract; see mm-eval scorer docs/en/SCORING.md)
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{
"name": "MMStar",
"release_date": "2026-05-15",
"subsets": {
"main": {
"language": [
"en"
],
"modalities": [
"single_image_start"
],
"task_type": "multiple_choice_qa",
"score_pipeline": [
"rule-match",
"llm-match"
],
"score_protocol": {
"reference": "vlmevalkit@vlmeval/dataset/image_mcq.py:249-324 (ImageMCQDataset.evaluate_heuristic) -> vlmevalkit@vlmeval/dataset/utils/multiple_choice.py:475-508 mcq_vanilla_eval: can_infer rule prefetch, then GPT extractor (extract_answer_from_item @vlmeval/dataset/utils/multiple_choice.py:359-407) maps verbose output to a letter, rule-compare vs GT; MMStar registered as plain ImageMCQDataset @vlmeval/dataset/image_mcq.py:102 (dataset authors = OpenCompass, so VLMEvalKit is the official authors' eval code)",
"note": "none: plain per-sample accuracy, no official aggregation caveat (previous audit and published score_protocol.note are both empty; stated explicitly here per the no-empty-field rule, not a metadata change)"
},
"prompt_template": "<image>{{ question }}\nPlease select the correct answer from the options above.",
"mapping_from_source": {
"media": {
"from": "image",
"type": "list",
"min_items": 1,
"max_items": 1
},
"id": {
"from": "index"
},
"question": {
"from": "question",
"note": "MCQ options are embedded as `Options: A: ..., B: ..., ...` in source"
},
"answer": {
"from": "answer",
"optional": true
},
"extra": {
"category": {
"from": "category"
},
"l2_category": {
"from": "l2_category"
}
},
"source": {
"format": "json",
"url": {
"val": "https://huggingface.co/datasets/Lin-Chen/MMStar"
}
}
},
"prompt_template_source": {
"origin": "official",
"reference": "https://github.com/open-compass/VLMEvalKit/blob/main/vlmeval/dataset/image_mcq.py (ImageMCQDataset.build_prompt — bare question + 'Please select the correct answer from the options above. ' trailer; source `question` column already contains 'Options: A: ..., B: ..., C: ..., D: ...' inline so the template avoids re-rendering options)",
"notes": "Tier 3: VLMEvalKit ImageMCQDataset.build_prompt. The MMStar source `question` column already includes the options inline (e.g., 'Options: A: ..., B: ..., C: ..., D: ...'), so the template appends only the answer-format trailer. lmms-eval's mmstar task uses a different trailer ('Answer with the option\\'s letter from the given choices directly') and is not the canonical reference for the current prompt."
}
}
}
}